Finally, as Pavlov's learning rule is intrinsically dynamics, there are phenomena that it describes but that can not be captured by a statistical mechanical picture: by the latter patterns (e.g. in the Hopfield model) have their stable basins of attraction and these are static if no further storing takes place (namely the network can retrieve persistently the same pattern and this operation does not alter the landscape where stored memories lie): solely learning new patterns alters the memory landscape. From the Pavlov perspective, instead, as shown in Figure REF , retrieval affects the amplitude and stability of minima and retrieving persistently the same pattern makes its basin of attraction more and more pronounced w.r.t. the basins of the other patterns (up to the point that, by constantly retrieving the same pattern – modeling obsessions – the whole memory collapses to solely that information), hence, forgetting within the Pavlov scheme can be achieved without network's pruning [1]}, [2]} or removal via sleeping induced mechanisms [3]}, [4]}.
